Current Research Activities

Previous work

• In the same hand, I made automatic cheating detector base on DenseNets and Human Pose detection.

• A project on autonomous vehicles deep learning base solutions, and we’ve developed our own network called SOLO.

• In the same way, we already developed motion estimator and now, we are trying to improve it.

• In the biomedical field, I worked with retinal images for diagnosis of eye diseases and published paper.

• Similarly, I worked on industrial automation to detect microscopic defects on the screens using Deep learning and published research paper.

Current work

• Currently, I am exploring AI in Education as a my PhD topic and developing recommender systems.

Seminars

• Introduction to Artificial intelligence (Deep Learning and Neural Network)

• Seminar on Recurrent Neural Networks (RNN)

Courses

• CS231n: Convolutional Neural Networks for Visual Recognition by Stanford University.

• Convolutional Neural Networks by deeplearning.ai.

• Artificial Neural Networks.

• Digital Image Processing.